INDUSTRY 4.0 | FACTORY MANAGEMENT
Wonderware – has recently introduced its Insight OMI app, which it describes as “a first in the industry to infuse real-time artificial intelligence (AI) into an operator’s decision-making as well as improve overall operational agility.” Aveva says the app provides various types of manufacturing businesses (not only plastics compounding) with an accelerated path toward implementing artificial intelligence in the control room or on the plant floor, “presenting real-time anomaly detection in a context-aware OMI visualisation display.” The company says: “The Aveva Insight OMI app
through its Golden Run recommendation engine. The company describes Golden Run as “a
proprietary recommendation engine specifically designed to address the needs of manufacturers for effciency and to identify the most profitable way to make a product. It enables manufacturers to solve problems faster than ever before and unlock cost-saving effciencies from data that could have remained hidden. Using machine learning algorithms, Golden Run identifies where changes and improvements can be made and generates new settings so manufacturers can continually realise cost-saving improvements.” The company says it has found that plastics manufacturers gain specific benefits from predictive performance or predictive quality applications and is now focusing more on those areas. “For plastics manufacturers we began targeting areas for faster ROI including predictive performance and quality applications,” says Oden CEO Willem Sundlbad. “Uptime optimisation solutions are still an important component to our offering, but we’ve seen manufacturers achieve a faster ROI through predictive performance and quality.” Sundlbad explains that by identifying critical conditions to reduce quality failures, Oden was able to help one company involved in plastics extrusion eliminate $5m per month in cost of non- conformance. “Teams know they need a better way to process data and proactively identify and address potential quality failures,” he says. “The value of increased visibility into production process controls is immediate and, in this case, the prescriptive performance saved over 200 production hours by adjusted settings while improving quality and even helped regain a lost customer.”
Integrating AI Industrial software supplier Aveva – best known for software that until a few months ago was called
www.compoundingworld.com August 2020 | COMPOUNDING WORLD 53
introduces AI capabilities into the Aveva System Platform, formerly Wonderware, and leverages predictive early warning and automatic detection of unusual operational behaviour. This provides users with early notification so they can quickly resolve issues before they become critical business problems such as unplanned downtime and production losses.” The app’s AI engine adapts to an enterprise’s
specific implementation, says Aveva. As anomalous patterns are identified, they can be captured and presented within an organisation’s Supervisory Control and Data Acquisition (SCADA) solution. “IIoT [Industrial Internet of Things] applications have driven a massive increase in the collection of real-time operations and manufacturing data,” says Rashesh Mody, Vice President, Monitoring and Control, at the company. “Operators often cannot effectively react to or distinguish between process- critical situations and false positive alarm conditions, resulting in the loss of operational time and resources. By harnessing the power of AI and advanced cloud analytics, Aveva is enabling operators to take proactive action, before process and maintenance problems occur.” A systems control company with considerable
experience in the compounding field is Kirchhoff Datensysteme Software (KDS). Its
Poly.ERP is an Enterprise Resource Planning (ERP) software
Left: Aveva sees the fusion of artificial Intelligence (AI) and production data improving plant operational decisions
Below: Many compounding operations face the challenge of connecting multiple levels of in-plant data, according to
Poly.ERP developer KDS
IMAGE: SHUTTERSTOCK
IMAGE: SHUTTERSTOCK
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70
